> Markdown version of [/jobs/ext/2621398-senior-data-enablement-lead](https://www.wearedevelopers.com/jobs/ext/2621398-senior-data-enablement-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Data Enablement Lead

- **Company:** Conagra Brands
- **Location:** Omaha, NE, United States
- **Experience:** Expert
- **Salary:** $82,000.0 - $120,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Data Governance, Data Infrastructure, Meta-Data Management, Data Streaming, Enterprise Data Management, Microsoft Fabric, Information Technology, Data Analytics, Data Management, Databricks
- **Published:** August 14, 2026
- **Apply:** https://dejobs.org/x/x/7E54E73C4084438884EB6691A4E48B1A/job/

## About the Role

* Bachelor's degree in Business, Information Technology, Data Analytics, Computer Science, ora relatedfield.
 * 5+ years of experience in data, analytics, governance, data products, business analysis, or related disciplines.
 * Strong SQLproficiencyand hands-on experience working with data to investigate issues,validaterequirements, understand data relationships, and support solution design discussions.
 * Experience leading through ambiguity and creating structure when ownership, governance, or processes are not clearly defined.
 * Experience influencing decisions, challenging assumptions, and driving alignment across cross-functional teams without direct authority.
 * Strong communicationand stakeholder management skills with experience translating technical, data, and governance concepts into practical business language.
 * Experience aligning business requirements, technical considerations, and governance expectations into actionable recommendations.
 * Experience with Databricks, Microsoft Fabric, or similar modern data platforms preferred.
 * Experience with data governance capabilities including lineage, stewardship, metadata management, ownership models, and data quality controls preferred.
 * Experience supporting enterprise data products or product-based operating models preferred.
 * Experiencefacilitatingorganizational change and adoption initiatives preferred.
 * Travel up to 10%.

## Description

* Lead business and information technology teams through data product intake, onboarding, and governance decisions by clarifying businessobjectives, risks, ownership, and adoption expectations aligned with enterprise data standards.
 * Partner with architects, engineers, delivery teams, and business stakeholders to understand source data, data flows, ownership models, and downstream consumption needs.
 * Promote enterprise data strategies by helping teams understand available data capabilities and how they can support businessobjectives.
 * Lead internal and offshore delivery teams by clarifying requirements, reviewing progress, providing feedback, and helping remove blockers.
 * Escalate issues by clearly defining the decisionrequired, associated risks, recommended actions, and accountable stakeholders.
 * Navigate ambiguous or conflicting information by documenting assumptions, evaluating impacts,identifyingalternatives, and recommending practical solutions.
 * Improve governance processes, standards, and onboarding practices based on recurring challenges and stakeholder feedback.
 * Identifyopportunities toleveragetechnology and automation to make data easier to find, understand, govern, and use at scale.
 * Partner with leadership to drive alignment across cross-functional teams and supportadoptionof enterprise data products and standards.


## Related Videos

- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [Python-Based Data Streaming Pipelines Within Minutes](https://www.wearedevelopers.com/videos/1233-python-based-data-streaming-pipelines-within-minutes)
- [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source)
- [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering)
- [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data)
- [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads)

## Related Articles

- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence)
- [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany)